TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was originally developed and is currently maintained by the Roitberg group.
The main features of e-lab/pytorch-cortexnet are: To be Classified.
Open-source alternatives to e-lab/pytorch-cortexnet include: alexis-jacq/pytorch-sketch-rnn. c0nn3r/pytorch_highway_networks. edouardoyallon/pyscatwave — Fast Scattering Transform with CuPy/PyTorch. jalexvig/associative_compression_networks. jingweiz/pytorch-dnc — Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom. aiqm/torchani — TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network…